engineering data; · cloud based services for precision farming ivan andonovic university of...
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![Page 1: Engineering Data; · Cloud based Services for Precision Farming Ivan Andonovic University of Strathclyde •Background •Use Case; Cloud Services for Precision Farming •Silent](https://reader033.vdocument.in/reader033/viewer/2022060220/5f0700987e708231d41acecc/html5/thumbnails/1.jpg)
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Engineering Data;
Cloud based Services for Precision Farming
Ivan Andonovic
University of Strathclyde
![Page 3: Engineering Data; · Cloud based Services for Precision Farming Ivan Andonovic University of Strathclyde •Background •Use Case; Cloud Services for Precision Farming •Silent](https://reader033.vdocument.in/reader033/viewer/2022060220/5f0700987e708231d41acecc/html5/thumbnails/3.jpg)
• Background
• Use Case; Cloud Services for
Precision Farming
• Silent Herdsman Platform
• mySilent Herdsman
• Summary
Outline
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Background
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Engineering Data Principles
• solutions are multi-disciplinary and are far more demanding that those routinely deployed under ‘Big Data’
• solutions rely on engineering elegance driven by precise risk and business impacts in order for the
– derived product/service to be fit for purpose
– can also be migrated with a minimum of perturbation to large organisations/institutions that have been following entrenched practices for many years or disparate end user communities
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The Internet of Things (IoT)
Technology Platform
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Engineering Data Principles
• the largest market segment is in multi-data streams utilised
to derive services that improve practices, asset
performance or production efficiency
• end user involvement from the outset crucial to product
success
– codify knowledge of domain experts and embed into the solution
• any solution must be validated
– business impact viz. return-on-investment
– technical functionality
– user experience
• resources required to fully mature service models are
lengthy and consistent funding is central to success
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IoT;
Many Market Segments
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Use Case;
Cloud Based Services for
Precision Farming
![Page 10: Engineering Data; · Cloud based Services for Precision Farming Ivan Andonovic University of Strathclyde •Background •Use Case; Cloud Services for Precision Farming •Silent](https://reader033.vdocument.in/reader033/viewer/2022060220/5f0700987e708231d41acecc/html5/thumbnails/10.jpg)
• core to satisfying the increasing world-wide
demand for animal products of good quality
whilst heavily reducing environmental load and
resource use
• animal wellbeing is at the start of a supply chain
linking farmer profitability, product quality,
consumer satisfaction and environmental
sustainability
• production efficiencies in the sector are poor
The Need;
Precision Livestock Farming (PLF)
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• is the total addressable/accessible market significant?• 1 billion cattle worldwide
• what is the exact market need?• Minimum Viable Product specification?• fertility impairing milk production
• lower pregnancy rates result in lost milk production days; 21 days per missed heat equivalent to ~£100 of revenue
• what is the technology solution to optimise pregnancy rates• what is the core raw data on which to fashion the solution?
temperature? activity?• cost; use commercial-off-the-shelf components• ease of deployment, use and maintenance• scalability• global solution - internationalisation
The Solution; Silent Herdsman
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• development methodology• establish relationships with end users, domain
experts and other industries operating across the supply chain
• establish access the test environments to• develop initial solutions
• verify initial solutions performance
• validate solution performance in representative markets
• product roadmap in place at the outset• cloud-based platform that quantifies performance
and efficiency of individual animals and provide key information to stakeholders within the supply chain
The Solution; Silent Herdsman
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Development Methodology
13
Vet SchoolAgricultural College
Government Support
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Silent Herdsman Platform
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Weight
Commercial in Confidence15
Location for
Collar Sensor
Ultra low
power
Processor
Ultra low
Radio
Interface
Flash
Memory
Battery
Sensor
X, Y, Z
Axis
Smart Collar
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Oestrus Service
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Health Service
Eating
Rumination
‘Health’ Alert (ill cow) when both fall 30 % below cow
average
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mySilent Herdsman
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Multiple Services
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mySilent Herdsman
• on-line ensures customer service and strategic data opportunities
• full off-line operation guaranteed
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Data Volume
Note; the Silent Herdsman smart collar reduces the volume of data from the 3-axis accelerometer prior to
transmission
• nevertheless the volume of data from ~600 farms with ~100 collars per farm generates ~600 GBbytes of data per collar feature e.g. heat indication over 1 year
• 1% of total number of cattle with ~1000 collars per farm translates into;
– ~10,000 farms
– ~100 Tbytes of data over a year per feature
– increases with number of connected farms and per collar feature
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Compatibility with IoT Designs
• multiple log-in capability so that other members of the supply chain can remote access to the information e.g. vets, AI (7)
• e.g. fertility and health service (6)• visualisation of the key conditions of
individual animals (5)• data accumulation either at a local
on-farm PC or the cloud (4)• e.g. on collar processing based on
artificial intelligence software that reduces the volume of data that requires to be transmitted (3)
• low power wireless connectivity (2)• e.g. accelerometer based neck
mounted senor is the measurement engine (1)
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Summary;
Massive Opportunties
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